Top Machine Learning Jobs in Minneapolis, MN

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

As a Senior Product Manager in Risk Enablement at Coinbase, you'll define strategies, prioritize roadmaps, and lead cross-functional teams to develop scalable risk management systems, ensuring compliance and enhancing customer security.

The Senior Applied Scientist will develop AI solutions, manage model development, collaborate with stakeholders, and communicate research effectively while ensuring product competitiveness.

Lead AI Software Development team, manage project lifecycles, collaborate on product requirements, deploy AI solutions, and foster team development.

As a Lead Applied Scientist, you'll design and deploy neuro-symbolic AI systems, develop multi-modal models, and lead AI personalization efforts while mentoring teams and shaping AI strategy.

The Lead Research Engineer will lead AI/ML projects, provide strategic direction, mentor teams, and deliver high-quality software solutions.

The Lead Applied Scientist will innovate and deliver AI solutions, mentor teams, and engage with stakeholders to align technology with business needs, focusing on NLP and ML applications.

As a Senior Applied Scientist, you will develop AI solutions enhancing products by leveraging IR, NLP, and machine learning, ensuring alignment with business objectives.

Lead the data intelligence strategy for FCC, focusing on monetization, advanced analytics, data governance, and AI integration while managing global teams.

The AI Strategist will develop AI systems for clinical decision support, collaborating cross-functionally to ensure systems align with clinical standards and enhance patient care.

The Pricing Analyst will develop pricing strategies, analyze product and customer profitability, and leverage data analytics to enhance pricing processes.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Senior Forward-Deployed Engineer, you'll integrate solutions for customers, design technical architectures, debug issues, and contribute to product development with a focus on customer success.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the design and implementation of AI/ML solutions, focusing on Generative and Agentic AI, while mentoring teams and aligning projects with business goals.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Oversee the data and analytics function, leading teams to develop data products and strategize data-driven decisions. Manage projects and resources for achieving business objectives.

The AI Product Sales Manager drives sales in AI products through strategic planning, managing sales pipelines, and collaborating with partners and teams to exceed quotas.